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M Seshashayee K Srinivas Rao Ch Satyanarayana P. Srinivasa Rao,
In this paper a novel image segmentation and retrieval method based on finite new symmetric mixture model with K-means clustering is developed. Here it is considered that pixel intensities in each ima...
complete descriptionhttp://www.ijcsi.org/papers/IJCSI-8-3-2-324-331.pdf
Savitsky, Terrance D.,
This research proposes a unified Gaussian process modeling approach that extends to data from the exponential dispersion family and survival data. Our specific interest is in the analysis of datasets ...
complete descriptionhttp://hdl.handle.net/1911/62083
Dai Xiaofeng Erkkilä Timo Yli-Harja Olli Lähdesmäki Harri,
Abstract
Background
Cluster analysis has become a standard computational method for gene function discovery as well as for more general explanatory data analysis. A number of different ...
complete descriptionhttp://www.biomedcentral.com/1471-2105/10/165
Li, Pengfei,
Mixture models provide a natural framework for unobserved heterogeneity in a population. They are widely applied in astronomy, biology, engineering, finance, genetics, medicine, social sciences, and o...
complete descriptionhttp://hdl.handle.net/10012/3442
Amadei, Andrea,,
Summary The theoretical modeling of fluid thermodynamics is one of the most challenging fields in physical chemistry. In fact the fluid behavior, except at very low density conditions, is still extrem...
complete descriptionhttp://irs.ub.rug.nl/ppn/17470691X
J.-L. Starck, N. Aghanim, O. Forni,
Recent Cosmic Microwave Background (CMB) observations indicate that the temperature anisotropies arise from quantum fluctuations in the inflationary scenario. In the simplest inflationary models, the ...
complete descriptionhttp://publications.edpsciences.org/10.1051/0004-6361:20040067/pdf
Murtagh, Fionn, Starck, Jean-Luc,
We show the potential for classifying images of mixtures of aggregate, based themselves on varying, albeit well-defined, sizes and shapes, in order to provide a far more effective approach compared to...
complete descriptionhttp://digirep.rhul.ac.uk/items/9ddb352c-101f-426f-4639-57f50b70d306/5/
Fox, Jeremy T., Kim, Kyoo il, Ryan, Stephen P., Bajari, Patrick,
http://hdl.handle.net/2027.42/88065
R. Cubarsi, S. Alcobé,
An alternative parameterization of a trivariate normal mixture for the stellar velocity distribution provides a set of constraint equations between global cumulants that are used to estimate character...
complete descriptionhttp://publications.edpsciences.org/10.1051/0004-6361:20041144/pdf
West, Mike,
We describe a strategy for Markov chain Monte Carlo analysis of nonlinear, non-Gaussian state-space models involving batch analysis for inference on dynamic, latent state variables and fixed model par...
complete descriptionhttp://hdl.handle.net/10161/4403